Midori Yamamoto

4.5k citations
101 papers · 1.6k indexed · h-index 20

Midori Yamamoto

94 papers receiving 1.6k citations

Peers

Midori Yamamoto
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 344
  • Health, Toxicology and Mutagenesis 162
  • Molecular Biology 640
  • Developmental Neuroscience 34
  • Pharmacology 71
Replace Ni Wang with:
Ni Wang China
Mary K. Dahmer United States
Ji‐Min Cao China
Aloı̈se Mabondzo France
Roland Z. Kozlowski United Kingdom
Carlota Saldanha Portugal
De‐Ming Yang Taiwan
Koichi Uemura Japan
Francesca Silvagno Italy
Qing Xia China
Midori Yamamoto relative to Ni Wang China Ni Wang's profile →
Citations per field
00.5×1.5×
Ni Wang · 1×
Citations per year

Countries citing papers authored by Midori Yamamoto

Since Specialization
Citations

This map shows the geographic impact of Midori Yamamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Midori Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Midori Yamamoto more than expected).

Fields of papers citing papers by Midori Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Midori Yamamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Midori Yamamoto. The network helps show where Midori Yamamoto may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Midori Yamamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Midori Yamamoto Line = papers co-authored together Midori Yamamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20240
5 20241
6 20240
7 20241
8 20238
9 20224
10 20225
11 20222
12 20222
13 20213
14 20203
15 20181
16 201634
17
Transplantation of Autologous induced Pluripotent Stem Cell-Derived Retinal Pigment Epithelium Cell Sheets for Exudative Age Related Macular Degeneration : A Pilot Clinical Study
20161
18 200923
19 2004221
20 19902

About Midori Yamamoto

Midori Yamamoto is a scholar working on Pharmacology, Ophthalmology and Health, Toxicology and Mutagenesis, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Birth, Development, and Health (9 papers), Retinal Diseases and Treatments (8 papers), Retinal Development and Disorders (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Health, Environment, Cognitive Aging (4 papers), Heavy Metal Exposure and Toxicity (4 papers) and Axon Guidance and Neuronal Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (344 citations), Health, Toxicology and Mutagenesis (162 citations) and Molecular Biology (640 citations). Midori Yamamoto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Noriko Takegahara, Hyota Takamatsu, Atsushi Kumanogoh, Hitoshi Kikutani, Kazuhiro Suzuki, Masaru Himeno, John R. Hoidal, Yasutaka Takubo, Yuma Hoshino and Alexei Guerassimov. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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